Qwen 3.8 Flash Next 176B-A6B — H100 vs H200 Performance per Dollar
Cost per million tokens of H100 (NVIDIA Hopper) versus H200 (NVIDIA Hopper) on Qwen 3.8 Flash Next 176B-A6B. Owning-hyperscaler TCO normalized by output tokens — performance per dollar across LLM workloads. Pick the more cost-efficient SKU at every target interactivity level. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
AgentX replays real coding-agent sessions rather than fixed-length prompts, so context grows turn over turn and most of each request is served from cache instead of being recomputed. That turns the comparison into a systems question: KV transfer between nodes, prefix-aware routing, and cache capacity all move the curve alongside raw chip throughput. Fixed-sequence workloads stay the clean baseline for kernel and silicon performance, so the two scenarios answer different questions about the same hardware. Learn more about AgentX →
Near the low end of the 15–133 tok/s/user interactivity band — at 44 tok/s/user — H100 runs $0.07 per million tokens on Qwen 3.8 Flash Next 176B-A6B while H200 runs $0.02. H200 is the cheaper choice by 218%.
On Qwen 3.8 Flash Next 176B-A6B at 74 tok/s/user, the per-million math comes out to $0.07 for H100 and $0.02 for H200; H200 delivers 200% more output per dollar.
At 104 tok/s/user on Qwen 3.8 Flash Next 176B-A6B, H100 costs $0.07 per million tokens; H200 costs $0.03. H200 is 160% more cost-efficient at this operating point. (Numbers reflect the default agentic-traces · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
Chip pricing (owning hyperscaler): H100 $1.17/chip/hr · H200 $1.22/chip/hr. Source: SemiAnalysis Market July 2026 Pricing Surveys & AI Cloud TCO Model.

| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Dollar per Million Tokens | H100:$0.065H200:$0.021 | H100:$0.066H200:$0.022 | H100:$0.066H200:$0.025 |
| Concurrency | H100:~11H200:~15 | H100:~10H200:~13 | H100:~9H200:~11 |
Inference Performance
Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.